Back to leaderboard

gemma4:12b-mlx

OLLAMA GGUF
Not Rec.

Aug 24, 2026 · Apple M1 Pro

qwen/qwen3-vl-30b

LM-STUDIO GGUF

qwen3vlmoe · 30B · Q4_K_M

Excellent

Apr 24, 2026 · AMD Ryzen 5 5500

Global Score
71 vs 92
Hardware Fit
76 vs 95
Quality Score
69 vs 90

Hardware

gemma4:12b-mlx qwen/qwen3-vl-30b
MachineMacBook ProASUS
CPUApple M1 ProAMD Ryzen 5 5500
Cores1012
RAM16 GB31 GB
GPUApple M1 ProNavi 44 [Radeon RX 9060 XT]
OSmacOS 26.6.2Nobara Linux 43
Archarm64x64
Power Modebalancedperformance

Performance

gemma4:12b-mlx qwen/qwen3-vl-30b
Tokens/sec25.024.8
First chunk787 ms11 ms
TTFT30.0 s735 ms
Load time4.0 s11.7 s
Memory usage7.1 GB0.6 GB
Memory %45%2%

HW Fit Score Breakdown

gemma4:12b-mlx

Speed
50/50
TTFT
0/20
Memory
26/30

qwen/qwen3-vl-30b

Speed
45/50
TTFT
20/20
Memory
30/30

Quality

gemma4:12b-mlx

Reasoning
14/20
Coding
10/20
Instruction
9/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Weak Structured Output: Strong Math: Adequate Multilingual: Strong

qwen/qwen3-vl-30b

Reasoning
19/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest